Saved in:
| Main Authors: | Peng, Tianhao, Wu, Wenjun, Yuan, Haitao, Bao, Zhifeng, Pengrui, Zhao, Yu, Xin, Lin, Xuetao, Liang, Yu, Pu, Yanjun |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2312.09708 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Spatial-Temporal Transformer with Curriculum Learning for EEG-Based Emotion Recognition
by: Lin, Xuetao, et al.
Published: (2025)
by: Lin, Xuetao, et al.
Published: (2025)
Faithful Interpretation for Graph Neural Networks
by: Hu, Lijie, et al.
Published: (2024)
by: Hu, Lijie, et al.
Published: (2024)
Graph Neural Network Aided Deep Reinforcement Learning for Resource Allocation in Dynamic Terahertz UAV Networks
by: Hu, Zhifeng, et al.
Published: (2025)
by: Hu, Zhifeng, et al.
Published: (2025)
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning
by: Peng, Tianhao, et al.
Published: (2025)
by: Peng, Tianhao, et al.
Published: (2025)
Multi-Relational Structural Entropy
by: Cao, Yuwei, et al.
Published: (2024)
by: Cao, Yuwei, et al.
Published: (2024)
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering
by: Sun, Li, et al.
Published: (2024)
by: Sun, Li, et al.
Published: (2024)
TAMTRL: Teacher-Aligned Reward Reshaping for Multi-Turn Reinforcement Learning in Long-Context Compression
by: Wang, Li, et al.
Published: (2026)
by: Wang, Li, et al.
Published: (2026)
Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network
by: Dai, Yanjun, et al.
Published: (2025)
by: Dai, Yanjun, et al.
Published: (2025)
Preserving Node-level Privacy in Graph Neural Networks
by: Xiang, Zihang, et al.
Published: (2023)
by: Xiang, Zihang, et al.
Published: (2023)
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering
by: Wen, Zichen, et al.
Published: (2024)
by: Wen, Zichen, et al.
Published: (2024)
Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation
by: Yu, Han, et al.
Published: (2025)
by: Yu, Han, et al.
Published: (2025)
Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis
by: Huang, Xiang, et al.
Published: (2025)
by: Huang, Xiang, et al.
Published: (2025)
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
by: Zhao, Songwei, et al.
Published: (2025)
by: Zhao, Songwei, et al.
Published: (2025)
Relating-Up: Advancing Graph Neural Networks through Inter-Graph Relationships
by: Zou, Qi, et al.
Published: (2024)
by: Zou, Qi, et al.
Published: (2024)
Line Graph Neural Networks for Link Weight Prediction
by: Liang, Jinbi, et al.
Published: (2023)
by: Liang, Jinbi, et al.
Published: (2023)
Graph Neural Networks in Modern AI-aided Drug Discovery
by: Zhang, Odin, et al.
Published: (2025)
by: Zhang, Odin, et al.
Published: (2025)
Variational Graph Generator for Multi-View Graph Clustering
by: Chen, Jianpeng, et al.
Published: (2022)
by: Chen, Jianpeng, et al.
Published: (2022)
Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks
by: Zhang, Xiaochen, et al.
Published: (2021)
by: Zhang, Xiaochen, et al.
Published: (2021)
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure
by: Yuan, Peng, et al.
Published: (2024)
by: Yuan, Peng, et al.
Published: (2024)
Towards Fair Graph Neural Networks via Graph Counterfactual without Sensitive Attributes
by: Wang, Xuemin, et al.
Published: (2024)
by: Wang, Xuemin, et al.
Published: (2024)
Learning to Count Isomorphisms with Graph Neural Networks
by: Yu, Xingtong, et al.
Published: (2023)
by: Yu, Xingtong, et al.
Published: (2023)
Graph Neural Networks for Graphs with Heterophily: A Survey
by: Zheng, Xin, et al.
Published: (2022)
by: Zheng, Xin, et al.
Published: (2022)
Transfer Entropy in Graph Convolutional Neural Networks
by: Moldovan, Adrian, et al.
Published: (2024)
by: Moldovan, Adrian, et al.
Published: (2024)
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs
by: He, Shuqi, et al.
Published: (2024)
by: He, Shuqi, et al.
Published: (2024)
Cluster-Enhanced Federated Graph Neural Network for Recommendation
by: Wang, Haiyan, et al.
Published: (2024)
by: Wang, Haiyan, et al.
Published: (2024)
Spiking Graph Neural Network on Riemannian Manifolds
by: Sun, Li, et al.
Published: (2024)
by: Sun, Li, et al.
Published: (2024)
Robust Event-Triggered Integrated Communication and Control with Graph Information Bottleneck Optimization
by: Wang, Ziqiong, et al.
Published: (2025)
by: Wang, Ziqiong, et al.
Published: (2025)
SEGMN: A Structure-Enhanced Graph Matching Network for Graph Similarity Learning
by: Wang, Wenjun, et al.
Published: (2024)
by: Wang, Wenjun, et al.
Published: (2024)
Network Tomography with Path-Centric Graph Neural Network
by: Hu, Yuntong, et al.
Published: (2025)
by: Hu, Yuntong, et al.
Published: (2025)
Entropy Production Rate of Non-equilibrium Systems from the Fokker-Planck Equation
by: Yu Haitao
Published: (2014)
by: Yu Haitao
Published: (2014)
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis
by: Liu, Zhe, et al.
Published: (2024)
by: Liu, Zhe, et al.
Published: (2024)
Understanding the Robustness of Graph Neural Networks against Adversarial Attacks
by: Wu, Tao, et al.
Published: (2024)
by: Wu, Tao, et al.
Published: (2024)
Applying Ensemble Models based on Graph Neural Network and Reinforcement Learning for Wind Power Forecasting
by: Song, Hongjin, et al.
Published: (2025)
by: Song, Hongjin, et al.
Published: (2025)
Multi-Relation Graph-Kernel Strengthen Network for Graph-Level Clustering
by: Han, Renda, et al.
Published: (2025)
by: Han, Renda, et al.
Published: (2025)
Enhancing Spectral Graph Neural Networks with LLM-Predicted Homophily
by: Lu, Kangkang, et al.
Published: (2025)
by: Lu, Kangkang, et al.
Published: (2025)
Entropy Aware Message Passing in Graph Neural Networks
by: Nazari, Philipp, et al.
Published: (2024)
by: Nazari, Philipp, et al.
Published: (2024)
RARE: Retrieval-Augmented Reasoning Modeling
by: Wang, Zhengren, et al.
Published: (2025)
by: Wang, Zhengren, et al.
Published: (2025)
Enhancing Signed Graph Neural Networks through Curriculum-Based Training
by: Zhang, Zeyu, et al.
Published: (2023)
by: Zhang, Zeyu, et al.
Published: (2023)
Effective Analog ICs Floorplanning with Relational Graph Neural Networks and Reinforcement Learning
by: Basso, Davide, et al.
Published: (2024)
by: Basso, Davide, et al.
Published: (2024)
Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity
by: Chen, Minxiao, et al.
Published: (2024)
by: Chen, Minxiao, et al.
Published: (2024)
Similar Items
-
Spatial-Temporal Transformer with Curriculum Learning for EEG-Based Emotion Recognition
by: Lin, Xuetao, et al.
Published: (2025) -
Faithful Interpretation for Graph Neural Networks
by: Hu, Lijie, et al.
Published: (2024) -
Graph Neural Network Aided Deep Reinforcement Learning for Resource Allocation in Dynamic Terahertz UAV Networks
by: Hu, Zhifeng, et al.
Published: (2025) -
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning
by: Peng, Tianhao, et al.
Published: (2025) -
Multi-Relational Structural Entropy
by: Cao, Yuwei, et al.
Published: (2024)